The Applied Genomic Epidemiology Handbook: A Practical Guide to Leveraging Pathogen Genomic Data in Public Health, Black, Allison ; Dudas, Gytis
Автор: Lupski Название: Genomic Disorders. 2006 ISBN: 1588295591 ISBN-13(EAN): 9781588295590 Издательство: Springer Рейтинг: Цена: 10760.00 р. 15372.00-30% Наличие на складе: Есть (1 шт.) Описание: A grand summary and synthesis of the tremendous amount of data now available in the post genomic era on the structural features, architecture, and evolution of the human genome. The authors demonstrate how such architectural features may be important to both evolution and to explaining the susceptibility to those DNA rearrangements associated with disease. Technologies to assay for such structural variation of the human genome and to model genomic disorders in mice are also presented. Two appendices detail the genomic disorders, providing genomic features at the locus undergoing rearrangement, their clinical features, and frequency of detection.
Название: Primer to Analysis of Genomic Data Using R ISBN: 331914474X ISBN-13(EAN): 9783319144740 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Through this book, researchers and students will learn to use R for analysis of large-scale genomic data and how to create routines to automate analytical steps. The philosophy behind the book is to start with real world raw datasets and perform all the analytical steps needed to reach final results. Though theory plays an important role, this is a practical book for graduate and undergraduate courses in bioinformatics and genomic analysis or for use in lab sessions. How to handle and manage high-throughput genomic data, create automated workflows and speed up analyses in R is also taught. A wide range of R packages useful for working with genomic data are illustrated with practical examples. The key topics covered are association studies, genomic prediction, estimation of population genetic parameters and diversity, gene expression analysis, functional annotation of results using publically available databases and how to work efficiently in R with large genomic datasets. Important principles are demonstrated and illustrated through engaging examples which invite the reader to work with the provided datasets. Some methods that are discussed in this volume include: signatures of selection, population parameters (LD, FST, FIS, etc); use of a genomic relationship matrix for population diversity studies; use of SNP data for parentage testing; snpBLUP and gBLUP for genomic prediction. Step-by-step, all the R code required for a genome-wide association study is shown: starting from raw SNP data, how to build databases to handle and manage the data, quality control and filtering measures, association testing and evaluation of results, through to identification and functional annotation of candidate genes. Similarly, gene expression analyses are shown using microarray and RNAseq data. At a time when genomic data is decidedly big, the skills from this book are critical. In recent years R has become the de facto< tool for analysis of gene expression data, in addition to its prominent role in analysis of genomic data. Benefits to using R include the integrated development environment for analysis, flexibility and control of the analytic workflow. Included topics are core components of advanced undergraduate and graduate classes in bioinformatics, genomics and statistical genetics. This book is also designed to be used by students in computer science and statistics who want to learn the practical aspects of genomic analysis without delving into algorithmic details. The datasets used throughout the book may be downloaded from the publisher’s website.
Streptococcus is a diverse genus of Gram-positive bacteria commonly found in multiple locations of their human and animal hosts e.g. the oral cavity and the upper respiratory tract. Many streptococci are commensals thus play a role in colonization resistance of the host. Others, however, are pathogenic and are responsible for a range of invasive and noninvasive diseases with high morbidity and mortality worldwide. Streptococci undergo frequent and extensive horizontal gene transfer leading to the emergence of drug resistant strains. This, combined with the current lack of effective anti-streptococcal vaccines, has led to a huge amount of research into the genomics to systems biology of these important bacteria. This timely review, edited by Yuqing Li and Xuedong Zhou, provides a comprehensive overview of the current knowledge of the most important hot-topics in streptococcal research. Topics covered include: CRISPR-Cas systems; genetic regulation by small RNAs; signal transduction by cyclic dinucleotide second messengers; the VicRK and ComDE two-component systems; mobile genetic elements; regulation of cell division; application of omics and bioinformatics tools; intrageneric and intergeneric interactions by oral streptococci; the hypervirulent M1T1 clone of GAS; Streptococcus suis; adhesion and invasion mechanisms; molecular evolution of pathogenic streptococci; novel antimicrobials; vaccine development. This volume is essential reading for everyone working with streptococci from the PhD student to the experienced scientist, in academia, the pharmaceutical or biotechnology industries and for those working in clinical environments.
Автор: Mccormick, Jennifer B. Название: Genomic Data Sharing ISBN: 0128198036 ISBN-13(EAN): 9780128198032 Издательство: Elsevier Science Рейтинг: Цена: 19875.00 р. Наличие на складе: Поставка под заказ.
Описание:
Genomic Data Sharing: Case Studies, Challenges, and Opportunities for Precision Medicine provides a comprehensive overview of current and emerging issues in genomic data sharing. In this book, international leaders in genomic data examine these issues in-depth, offering practical case studies that highlight key successes, challenges and opportunities. Sections discuss the eMERGE Network, Undiagnosed Disease Network, Vanderbilt Biobank, Marshfield Clinic Biobank, Minnesota Authorization, Rochester Epidemiology Project, NIH sponsored biobanks, GINA, and Global Alliance for Genomics and Health (GA4GH). In addition to these perspectives from the frontlines, the book also provides succinct overviews of ethical, legal, social and IT challenges.
Clinician investigators, clinicians affiliated with academic medical centers, policymakers and regulators will also gain insights that will allow them to navigate the increasingly complex ethical, social and clinical landscape of genomic data sharing.
Автор: Mikael Skurnik; Jos? Antonio Bengoechea; Kaisa Gra Название: The Genus Yersinia ISBN: 1475781660 ISBN-13(EAN): 9781475781663 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: For the eighth time the yersiniologists all over the world gathered together when the International Symposium on Yersinia was organized by University of Turku and Turku Microbiology Society in Turku, Finland.
Автор: Diponkar Banerjee; Sohrab P. Shah Название: Array Comparative Genomic Hybridization ISBN: 1493959557 ISBN-13(EAN): 9781493959556 Издательство: Springer Рейтинг: Цена: 20263.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This Methods in Molecular Biology (TM) book explores the scope of what is possible today in documenting abnormalities associated with several human cancers. Offers materials and reagents lists, step-by-step protocols, troubleshooting tips, pitfalls and more.
Автор: Jon F. Wilkins Название: Genomic Imprinting ISBN: 1441926585 ISBN-13(EAN): 9781441926586 Издательство: Springer Рейтинг: Цена: 19589.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The goal of this book is neither to provide a basic introduction to imprinting, nor to provide a comprehensive survey of the current state of the field. Genomic imprinting refers to a recently discovered phenomenon in which the expression pattern of an allele depends on whether that allele was inherited from the mother or the father.
Автор: Isabel S?-Correia Название: Yeasts in Biotechnology and Human Health ISBN: 3030130347 ISBN-13(EAN): 9783030130343 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Поставка под заказ.
Описание: This book discusses genome-based strategies to provide a holistic understanding of yeasts in Human Health and as model organisms in basic research or industrial production. Using numerous Saccharomyces cerevisiae strains and various non-conventional yeast species isolated from diverse origins, it describes essential biological processes, the biotechnological exploitation of yeast and pathogenesis control. It also demonstrates how functional and comparative genomics and the development of genome engineering tools are used in modern yeast research.The use of yeasts as experimental eukaryotic models increasingly gained prominence when several Nobel Prizes in Physiology/Medicine and Chemistry were awarded for innovative research, using yeast strains to elucidate molecular mechanisms in a wide range of human physiological processes and diseases, such as autophagy, cell cycle regulation and telomerase activity.This book offers useful insights for scientists in yeast research, clinical scientists working with yeast infectious models and for industrial researchers using applied microbiology.
Описание: This book presents a long-term study in genetic isolates of indigenous small ethnics of Dagestan, located in the North-East part of Caucasus in Russia. Dagestan is characterized by extreme cultural and linguistic differences in a small geographic area and contains 26 indigenous ethnic groups. According to archeological data these indigenous highland ethnics have been living in the same area for more than ten thousand years. Our long-term population-genetic study of Dagestan indigenous ethnic groups indicates their close relation to each other and suggests that they evolved from one common ancestral meta-population. Dagestan has an extremely high genetic diversity between ethnic populations and a low genetic diversity within them. Such genetic isolates are exceptional resources for the detection of susceptibility genes for complex diseases because of the reduction in genetic and clinical heterogeneity. The founder effect and gene drift in these primary isolates may have caused aggregation of specific haplotypes with limited numbers of pathogenic alleles and loci in some isolates relative to others. The book presents a study in four ethnically and demographically diverse genetic isolates with aggregation of schizophrenia that we ascertained within our Dagestan Genetic Heritage Research Project. The results obtained support the notion that mapping genes of any complex disease (e.g., schizophrenia) in demographically older genetic isolates may be more time and cost effective due to their high clinical and genetic homogeneity, in comparison with demographically younger isolates, especially with genetically heterogeneous outbred populations.
Автор: Geoffrey S. Ginsburg Название: Genomic and Personalized Medicine ISBN: 0128006811 ISBN-13(EAN): 9780128006818 Издательство: Elsevier Science Рейтинг: Цена: 15157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Genomic and Precision Medicine: Foundations, Translation, and Implementation highlights the various points along the continuum from health to disease where genomic information is impacting clinical decision-making and leading to more personalization of health care.
The book pinpoints the challenges, barriers, and solutions that have been, or are being, brought forward to enable translation of genome based technologies into health care. A variety of infrastructure (data systems and EMRs), policy (regulatory, reimbursement, privacy), and research (comparative effectiveness research, learning health system approaches) strategies are also discussed. Readers will find this volume to be an invaluable resource for the translational genomics and implementation science that is required to fully realize personalized health care.
Provides a comprehensive volume on the translation and implementation of biology into health care provision
Presents succinct commentary and key learning points that will assist readers with their local needs for translation and implementation
Includes an up-to-date overview on major 'translational events' in genomic and personalized medicine, along with lessons learned
Автор: Yihong Yao Название: Genomic Biomarkers for Pharmaceutical Development, ISBN: 0123973368 ISBN-13(EAN): 9780123973368 Издательство: Elsevier Science Рейтинг: Цена: 11193.00 р. Наличие на складе: Поставка под заказ.
Описание: Genomic Biomarkers for Pharmaceutical Development: Advancing Personalized Health Care provides an in-depth review of the state of translational science across all stages of pharmaceutical development with a special focus on personalized health care. This book provides a complete picture of biomarker development and validation in a pharmaceutical setting while addressing the inherent challenges of targeting the appropriate indications, biomarker robustness, regulatory hurdles, commercialization and much more. It features case studies devoted to the applications of pharmacogenomics, toxicogenomics, and other genetic technologies as they support drug discovery and development. . With chapters written by international authorities in industry and academia, this work is a truly unique presentation of the thoughts and approaches that lead to the development of personalized medicine. Intended for all those involved in clinical translational research, this book is the ideal resource for scientists searching for the applications, strategies and successful approaches of translational science in pharmaceutical development.
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